Performance Evaluation of Point Matching Methods in Video Sequences with Abrupt Motions

In this paper, we compare the performance of matching algorithms in terms of efficiency, robustness, and computation time. Our evaluation uses as criterion, for efficiency and robustness, number of inliers and is carried out for different video sequences with abrupt motions (translation, rotation, combined). We compare SIFT, SURF, cross-correlation with Harris detector, and cross-correlation with SURF detector. Our experiments show that abrupt movements perturb a lot the matching process. They show also that SURF is the most disturbed, by such motions, and which even fails in cases that present a large rotation unlike the rest of descriptors as SIFT and cross-correlation.